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Staff Data Scientist, Inference - Customer Support

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Airbnb

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

194000.00 - 240000.00 USD / Year
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Job Description:

As a Staff Data Scientist working on Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to match our services to specific customer needs. You will be able to create meaningful impact through deep scientific understanding and by designing interventions for Airbnb CS’s most critical challenges. You will own projects end-to-end and serve as both a subject matter expert and mentor to the broader Data Science community on inference-related problems.

Job Responsibility:

  • Lead DS efforts building segmentation features for CS including data exploration, optimization and model prototyping
  • Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
  • Develop simulations to validate the impact of potential product and operational changes to the business
  • Design and utilize new experiment frameworks to measure the effectiveness feature launches, even when A/B tests are infeasible
  • Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
  • Bring new ideas to the team which can improve the operational efficiency of customer support at airbnb

Requirements:

  • 9+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty)
  • Master’s degree or PhD in relevant fields
  • Strong fluency in Python, SQL
  • Familiarity with causal inference and experimentation and a desire to continue to learn
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels
  • Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community
What we offer:
  • bonus
  • equity
  • benefits
  • Employee Travel Credits

Additional Information:

Job Posted:
December 16, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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